A simplified approach for yield prediction of sugar beet based on optical remote sensing data-Reference-Cited by-同舟云学术

A simplified approach for yield prediction of sugar beet based on optical remote sensing data

Published:1997-08 Issue:2 Volume:61 Page:221-228
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Clevers J.G.P.W

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference20 articles.

1. Potentials and limits of vegetation indices for LAI and APAR assessment;Baret;Remote Sens. Environ.,1991

2. Linking X-band radar backscattering and optical reflectance with crop growth models;Bouman,1991

3. Linking physical remote sensing models with crop growth simulation models, applied for sugar beet;Bouman;Int. J. Rem. Sens.,1992

4. SBFLEVO OPT, a program to calibrate the crop growth model SBFLEVO for sugar beet in Flevoland on optical reflectance and/or radar backscatter data;Bouman,1992

5. Standard relations to estimate ground cover and LAI of agricultural crops from reflectance measurements;Bouman;Eur. J. Agron.,1992

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